Hybrid Raman and Laser-Induced Breakdown Spectroscopy for Food Authentication Applications
The issue of food fraud has become a significant global concern as it affects both the quality and safety of food products, ultimately resulting in the loss of customer trust and brand loyalty. To address this problem, we have developed an innovative approach that can tackle various types of food fr...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2023-08-01
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| Series: | Molecules |
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| Online Access: | https://www.mdpi.com/1420-3049/28/16/6087 |
| _version_ | 1797583609288196096 |
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| author | Sungho Shin Iyll-Joon Doh Kennedy Okeyo Euiwon Bae J. Paul Robinson Bartek Rajwa |
| author_facet | Sungho Shin Iyll-Joon Doh Kennedy Okeyo Euiwon Bae J. Paul Robinson Bartek Rajwa |
| author_sort | Sungho Shin |
| collection | DOAJ |
| description | The issue of food fraud has become a significant global concern as it affects both the quality and safety of food products, ultimately resulting in the loss of customer trust and brand loyalty. To address this problem, we have developed an innovative approach that can tackle various types of food fraud, including adulteration, substitution, and dilution. Our methodology utilizes an integrated system that combines laser-induced breakdown spectroscopy (LIBS) and Raman spectroscopy. Although both techniques emerged as valuable tools for food analysis, they have until now been used separately, and their combined potential in food fraud has not been thoroughly tested. The aim of our study was to demonstrate the potential benefits of integrating Raman and LIBS modalities in a portable system for improved product classification and subsequent authentication. In pursuit of this objective, we designed and tested a compact, hybrid Raman/LIBS system, which exhibited distinct advantages over the individual modalities. Our findings illustrate that the combination of these two modalities can achieve higher accuracy in product classification, leading to more effective and reliable product authentication. Overall, our research highlights the potential of hybrid systems for practical applications in a variety of industries. The integration and design were mainly focused on the detection and characterization of both elemental and molecular elements in various food products. Two different sets of solid food samples (sixteen Alpine-style cheeses and seven brands of Arabica coffee beans) were chosen for the authentication analysis. Class detection and classification were accomplished through the use of multivariate feature selection and machine-learning procedures. The accuracy of classification was observed to improve by approximately 10% when utilizing the hybrid Raman/LIBS spectra, as opposed to the analysis of spectra from the individual methods. This clearly demonstrates that the hybrid system can significantly improve food authentication accuracy while maintaining the portability of the combined system. Thus, the successful implementation of a hybrid Raman-LIBS technique is expected to contribute to the development of novel portable devices for food authentication in food as well as other various industries. |
| first_indexed | 2024-03-10T23:41:14Z |
| format | Article |
| id | doaj.art-2826c27ae39c4922998edfc13e8b4889 |
| institution | Directory Open Access Journal |
| issn | 1420-3049 |
| language | English |
| last_indexed | 2024-03-10T23:41:14Z |
| publishDate | 2023-08-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Molecules |
| spelling | doaj.art-2826c27ae39c4922998edfc13e8b48892023-11-19T02:24:40ZengMDPI AGMolecules1420-30492023-08-012816608710.3390/molecules28166087Hybrid Raman and Laser-Induced Breakdown Spectroscopy for Food Authentication ApplicationsSungho Shin0Iyll-Joon Doh1Kennedy Okeyo2Euiwon Bae3J. Paul Robinson4Bartek Rajwa5Department of Basic Medical Sciences, Purdue University, West Lafayette, IN 47907, USADepartment of Basic Medical Sciences, Purdue University, West Lafayette, IN 47907, USAWeldon School of Biomedical Engineering, Purdue University, West Lafayette, IN 47907, USASchool of Mechanical Engineering, Purdue University, West Lafayette, IN 47907, USADepartment of Basic Medical Sciences, Purdue University, West Lafayette, IN 47907, USABindley Bioscience Center, Discovery Park, Purdue University, West Lafayette, IN 47907, USAThe issue of food fraud has become a significant global concern as it affects both the quality and safety of food products, ultimately resulting in the loss of customer trust and brand loyalty. To address this problem, we have developed an innovative approach that can tackle various types of food fraud, including adulteration, substitution, and dilution. Our methodology utilizes an integrated system that combines laser-induced breakdown spectroscopy (LIBS) and Raman spectroscopy. Although both techniques emerged as valuable tools for food analysis, they have until now been used separately, and their combined potential in food fraud has not been thoroughly tested. The aim of our study was to demonstrate the potential benefits of integrating Raman and LIBS modalities in a portable system for improved product classification and subsequent authentication. In pursuit of this objective, we designed and tested a compact, hybrid Raman/LIBS system, which exhibited distinct advantages over the individual modalities. Our findings illustrate that the combination of these two modalities can achieve higher accuracy in product classification, leading to more effective and reliable product authentication. Overall, our research highlights the potential of hybrid systems for practical applications in a variety of industries. The integration and design were mainly focused on the detection and characterization of both elemental and molecular elements in various food products. Two different sets of solid food samples (sixteen Alpine-style cheeses and seven brands of Arabica coffee beans) were chosen for the authentication analysis. Class detection and classification were accomplished through the use of multivariate feature selection and machine-learning procedures. The accuracy of classification was observed to improve by approximately 10% when utilizing the hybrid Raman/LIBS spectra, as opposed to the analysis of spectra from the individual methods. This clearly demonstrates that the hybrid system can significantly improve food authentication accuracy while maintaining the portability of the combined system. Thus, the successful implementation of a hybrid Raman-LIBS technique is expected to contribute to the development of novel portable devices for food authentication in food as well as other various industries.https://www.mdpi.com/1420-3049/28/16/6087laser-induced breakdown spectroscopy (LIBS)Raman spectroscopycompact and combined systemfood authenticationsimultaneous atomic and molecular analysis |
| spellingShingle | Sungho Shin Iyll-Joon Doh Kennedy Okeyo Euiwon Bae J. Paul Robinson Bartek Rajwa Hybrid Raman and Laser-Induced Breakdown Spectroscopy for Food Authentication Applications Molecules laser-induced breakdown spectroscopy (LIBS) Raman spectroscopy compact and combined system food authentication simultaneous atomic and molecular analysis |
| title | Hybrid Raman and Laser-Induced Breakdown Spectroscopy for Food Authentication Applications |
| title_full | Hybrid Raman and Laser-Induced Breakdown Spectroscopy for Food Authentication Applications |
| title_fullStr | Hybrid Raman and Laser-Induced Breakdown Spectroscopy for Food Authentication Applications |
| title_full_unstemmed | Hybrid Raman and Laser-Induced Breakdown Spectroscopy for Food Authentication Applications |
| title_short | Hybrid Raman and Laser-Induced Breakdown Spectroscopy for Food Authentication Applications |
| title_sort | hybrid raman and laser induced breakdown spectroscopy for food authentication applications |
| topic | laser-induced breakdown spectroscopy (LIBS) Raman spectroscopy compact and combined system food authentication simultaneous atomic and molecular analysis |
| url | https://www.mdpi.com/1420-3049/28/16/6087 |
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